Strains on the tech stack and controls

Despite these differences, a lot of how ABF is done is dictated by how direct lending was done. Firms try to leverage system and process choices they made for a small book of loans. But as their ABF businesses become bigger, they need to rethink. What works for direct lending is not going to work for ABF.

For example, most private lenders started with better spreadsheets. Some loans still live in spreadsheets. Others are using legacy technologies built for their direct lending book, including Python scripts, legacy data warehouses, a hodgepodge of technologies, and a lot of human labor.

Additionally, many private credit firms used to operate on a quarterly cadence, close their books each quarter, and produce NAV and capital account statements. With ABF, the cadence and need for scrutiny raise the stakes. New pressures are also coming into play as firms pursue new investors along with new debt deals. Individual investors investing through wealth channels do so using regulated products instead of bespoke private limited partner arrangements.

The resulting vehicles demand more scrutiny and typically have a much higher reporting cadence. Such funds need to cut a NAV every day and offer some liquidity monthly or quarterly. Any errors matter because they’re trading off that NAV. As factors like reporting frequency, liquidity choices, volumes, and rate of change in investment strategies increase, this calls for robust modern technology.

They also call for operational change. Many of these firms have operated independently by business line, with direct lending, tradable credit, and ABF all separate. As they seek to offer clients a more consistent experience and create multi-asset products, they are bumping into a roadblock: reorganizing and centralizing fund accounting, investment operations, investor operations, performance analytics, and client reporting. They need enabling technology to do that as well.

From fragmentation to a single source of truth

Having a single source of truth across direct lending, ABF, and tradable credit means a single platform that can accommodate all of those nuances. In an ideal world, they’re using a modern technology platform with connectivity to these different platforms, ingesting the data systematically through APIs or some form of integration, then normalizing it. Reaching that point from their platforms today can be a struggle.

That source of truth serves different functional areas:

Risk teams can slice and dice loans to understand exposure, including by FICO score, by region, and by type of purchase.
Portfolio teams want transparency and the ability to tag against reference data by industry, region, purchase type, and rating.
Accounting teams take data in aggregate cohorts to associate with the funds whose money was invested and produce financials and capital account statements.
Investors, including individuals in an evergreen fund, traditional institutional LPs, and insurance companies, require tailored reports.

The value of building ABF scale

Even if ABF is forcing firms to take on complex platform challenges, the value of the effort makes them more competitive and more able to function and scale for the future. Having a good platform in place is essential to monitor and assess how risk is changing and pivot accordingly, and to deliver on the increased scrutiny from investors who expect greater transparency into portfolios more frequently. It accentuates the need for better data and technology.

Once they do so, better, more accurate, and more frequent data can help surface issues earlier, before drastic events like a large source of financing deciding you’re no longer creditworthy and closing the valve, triggering other sources to follow suit, and creating a liquidity challenge. The data pipes behind the scenes, data quality, and a governance framework can address those risks, and also lay the foundation for future usage of AI.

Because ABF offers a growth runway at least as large as that of direct lending, technology adoption has to increase faster.